True. Quantitative data may be analyzed using a variety of approaches, including identifying categories or themes, and using theoretical frameworks such as grounded theory, distributed cognition, and activity theory.
Categorizing or identifying themes in quantitative data involves grouping data points or observations into categories or themes based on shared characteristics or properties. This can help to identify patterns or trends in the data and make it easier to understand and interpret.
Theoretical frameworks, such as grounded theory, distributed cognition, and activity theory, provide a set of concepts and principles that can be used to guide the analysis and interpretation of quantitative data. These frameworks can help researchers understand the underlying patterns and relationships in the data and provide a basis for making inferences and conclusions about the data.